Evidence map›Paper›PMID 32899300›Full record

ArticlePlants (Basel, Switzerland)2020

Genetic Diversity and Combining Ability of White Maize Inbred Lines under Different Plant Densities.

Mohamed M Kamara, Medhat Rehan, Khaled M Ibrahim, Abdullah S Alsohim, Mohsen M Elsharkawy, Ahmed M S Kheir, Emad M Hafez, Mohamed A El-Esawi

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 49 citations in OpenAlex.

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  16. Advances in Cereal Crops Breeding.Plants (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Mohamed M KamaraDepartment of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt.ORCID 0000-0001-6282-4951
Medhat RehanDepartment of Genetics, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt.
Khaled M IbrahimAgronomy Department, Faculty of Agriculture, New Valley University, El-Kharga 72511, Egypt.
Abdullah S AlsohimDepartment of Plant Production and Protection, College of Agriculture and Veterinary Medicine, Qassim University, Burydah 51452, Saudi Arabia.
Mohsen M ElsharkawyDepartment of Agricultural Botany, Faculty of Agriculture, Kafrelsheikh University, Kafr Elsheikh 33516, Egypt.ORCID 0000-0003-4731-056X
Ahmed M S KheirSoils, Water and Environment Research Institute, Agricultural Research Center, Giza 12112, Egypt.ORCID 0000-0001-9569-5420
Emad M HafezDepartment of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt.ORCID 0000-0001-6890-2033
Mohamed A El-EsawiBotany Department, Faculty of Science, Tanta University, Tanta 31527, Egypt.ORCID 0000-0002-8871-5689
Kafrelsheikh University · EGAgricultural Research Center · EGQassim University · SASouth Valley University · EGTanta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of combining ability and genetic diversity are important prerequisites for the development of outstanding hybrids that are tolerant to high plant density. This work was carried out to assess general combining ability (GCA) and specific combining ability (SCA), identify promising hybrids, estimate genetic diversity among the inbred lines and correlate genetic distance to hybrid performance and SCA across different plant densities. A total of 28 F

Indexed as

combining abilitydensity tolerancegene effectsgenetic diversitymaize

Identifiers

PMID32899300
PMCPMC7570016
OpenAlexW3082946372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.